Assignment 10 In a study of the development of low birth weight (LBW) infants, newborns were placed into three groups determined by their mother's participation in a special training program about the special needs of low birth weight infants. The mothers were interviewed when the babies were 6 months old to analyze how well they were adapting to their role as a mother. The three groups are: 1. LBW – Experimental; this group of mothers had babies with low birth weights and participated in the special training program 2. LBW – Control; this group of mothers had babies with low birth weights and did not participate in the special training program 3. Full term – Control; this group of mothers had babies born at full term with an average birth weight and did not participate in the special training program The experiment hoped to show that mothers who had participated in the special training program would adapt to their new role as well as the mothers of full-term infants. The experiment expected that mothers with low birth weight infants who did not participate in the training would have more trouble adapting. The data from this training is in the attached file labeled "Assignment 10 Data". This data and this scenario are taken from: Howell, D. C. (2014). Fundamental Statistics for the Behavioral Sciences. Cengage Learning. 1. Run an ANOVA using this data set. Upload an image of your output. (You will probably need to take two screenshots, one for the Description and ANOVA tables and a second for the Tukey HSD tables. 2. What is the confidence interval for the LBW – Control group, and what does it represent? 3. What is the decision for the null hypothesis? 4. What type of error (Type l or Type II) do you risk incurring with the decision that you made in #3? 5. What is the eta-squared value, and what does it mean/how do you interpret it? 6. In the post hoc tests (the Tukey HSD), which individual groups had significant differences? 7. What is the Cohen's d effect size between the Group 1 LBW – Experimental and Group 2 LBW – Control group, and what does it mean/how do you interpret it?

You are a researcher who wants to study how people’s feelings towards Congress change over time. You send a survey to the same 1,000 people at two time points: 2005 and 2015. What type of study is this? A. Open-ended response study B. Focus group study C. Two-wave panel study D. Three-wave panel study

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2. A researcher conducts a study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control n = 10 M = 12 SS = 120.5 Exercise n = 15 M = 15.5 SS = 190.0 Conduct the four steps for hypothesis testing and label a. Use a two-tailed test with a = .05. each step: Step1, Step 2, Step 3, and Step 4. b. Calculate Cohen's d. c. Are the data sufficient to conclude that thier is a significant difference? Write your answer in the form of a sentence.

Environmental Health An important issue in assessing nuclear energy is whether excess disease risks exist in the communities surrounding nuclear-power plants. A study undertaken in the community surrounding Hanford, Washington, looked at the prevalence of selected congenital malformations in the counties surrounding the nuclear-test facility.t You may need to use the appropriate technology to answer this question. (a) Suppose 28 cases of Down's syndrome are found and only 19 are expected based on Birth Defects Monitoring Program prevalence estimates in the states of Washington, Idaho, and Oregon. Are there significant excess cases in the area around the nuclear-power plant? (Round your answer to four decimal places.) There ---Select--- v a significant excess of Down's syndrome cases in the area, since the probability of observing at least 28 cases is which is ---Select--- Suppose 11 cases of cleft palate are observed, whereas only 7 are expected based on Birth Defects Monitoring…

A study prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in a cohort of 600 adults participating in the Sleep Heart Health Study. Study participants were classified into four groups depending on the extent of their sleep-disordered breathing (none, mild, moderate, or severe). The counts of deaths over the course of the study are reported for each group in the following two-way table. Mild Severe 100 Death No Death Total None 40 100 140 40 100 140 Moderate 20 100 120 Total 200 400 600 100 200 We want to know whether the study findings give evidence of a significant difference of the number of deaths between the different groups. Set up the alternative hypothesis (H, : The distribution of the categorical variable is not as given by the null hypothesis (lack of fit) At least ones of the means is different from the others O The two categorical variables are dependent The distribution of the categorical variable is not…

A study prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in a cohort of 600 adults participating in the Sleep Heart Health Study. Study participants were classified into four groups depending on the extent of their sleep-disordered breathing (none, mild, moderate, or severe). The counts of deaths over the course of the study are reported for each group in the following two-way table. Death No Death Total None 40 100 140 Mild 40 100 140 Moderate 20 100 120 Severe 100 100 200 Total 200 400 600 We want to know whether the study findings give evidence of a significant difference of the number of deaths between the different groups. The observed test statistic is 3.610 42.857 5.476 8.075

Penicillin Yields. In Statistics for Experimenters (New York, NY: John Wiley &Sons, Inc., 1978),G. Box, W. Hunter, and J. Hunter describe an experiment to determine the effect on yield of four variants of a process for producing penicillin. A basic material in the production process, corn steep liquor, was known to be quite variable. Five blends of corn steep liquor were obtained, and each blend was divided into four equal parts. The four process variants were randomly assigned to the four parts in each blend. The penicillin yields are given in the following table.